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The Study on Noise Reduction Model of GPS Dynamic Deformation Data Based on Wavelet Analysis

机译:基于小波分析的GPS动态变形数据降噪模型研究

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摘要

On the basis of wavelet threshold noise reduction model,we researched and analyzed three kinds of noise reduction methods,they were the hard threshold and soft threshold and improved threshold. We based on the features of GPS dynamic deformation monitoring data sequence, combined with the measured data and respectively used three kinds of noise reduction threshold model to do experiments and analyzed the effect of different threshold selection to the noise reduction. Experimental results showed that the improved model of the noise reduction threshold value was better than the other two methods and can effectively identify the trends.
机译:在小波阈值降噪模型的基础上,研究并分析了硬阈值,软阈值和改进阈值三种降噪方法。根据GPS动态变形监测数据序列的特点,结合实测数据,分别采用三种降噪阈值模型进行实验,分析了不同阈值选择对降噪的影响。实验结果表明,改进的降噪阈值模型优于其他两种方法,可以有效地识别趋势。

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